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an expert in combining neuroimaging with neuromodulation. The post holder will lead work in setting imaging protocols, processing of neuroimaging (fMRI, dMRI, MRS) and cognitive data gathered before
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editing, mouse modeling, iPSC disease modelling, cell sorting, live cell imaging, spatial and single cell omics modalities, and advanced image processing and analysis, amongst a variety of other specific
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of the Quantum & Computer Engineering (QCE) department is looking for a highly motivated PhD candidate who is eager to work on AI based solutions for predictive inteligence for MRI scanning. The candidate will
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 16 days ago
with excitatory opsins and implant fiber optic arrays to selectively activate only the dopaminergic populations of each subarea; To assess neuronal activity using intracranial calcium imaging, we will
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The AITHYRA-CeMM Joint International PhD Call in Molecular Medicine and Artificial Intelligence (m/f
-20 fully funded PhD positions here: https://apply.cemm.at/ Supported by the Medical University of Vienna, the Technical University of Vienna and University of Vienna, the AITHYRA and CeMM PhD programs
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demanufacturing and advanced AI. Building on our infrastructure for product identification, computer vision, and lifecycle assessment, we will launch the REINFUSE project in 2026, a four-year Flanders Make SBO
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The Laboratory of Cortical Information Processing | Vision to Action at NERF (www.nerf.be ) invites applications for a Postdoctoral Fellow or PhD Student to work on a new research project funded by
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the development of custom algorithms for image or data processing, workflow automation and the interpretation of large volumes of information from optical, thermal or flow measurement systems. Participation in
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the European framework) Know-how: Confirmed experience in stereotaxic surgery in mice Practice of behavioral analyses Ability to develop data analysis scripts Ability to design, prototype and integrate
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paradigm shift from QIP to EFQIP by comparing different quantum ways to achieve some (quantum or classical) information processing tasks and provide the least harm to the environment way. In particular it